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1607.00653
Cited By
node2vec: Scalable Feature Learning for Networks
3 July 2016
Aditya Grover
J. Leskovec
Re-assign community
ArXiv (abs)
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Papers citing
"node2vec: Scalable Feature Learning for Networks"
50 / 2,627 papers shown
Title
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Bo Jiang
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Graph-level Protein Representation Learning by Structure Knowledge Refinement
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Jiangbin Zheng
Jun Xia
Stan Z. Li
64
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Yikun Han
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Yongye Su
176
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Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
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Vasile Rus
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04 Jan 2024
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Emilio Ferrara
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Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding
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77
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28 Dec 2023
A Contrastive Variational Graph Auto-Encoder for Node Clustering
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Mohamed Bouguessa
Riadh Ksantini
DRL
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0
28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures
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Haoteng Yin
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28 Dec 2023
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Marco Angelini
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Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation
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Ya Li
Jiaquan Chen
Philip S. Yu
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Takanori Ugai
Masateru Oota
Kyoumoto Matsushita
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Ken Fukuda
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Maximilian Kalcher
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Sirui Li
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Jiangmeng Li
Jie Hu
Rui Wang
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35
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Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
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Liying Wang
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FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
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Rong Ge
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EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning
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Kazuhide Fukushima
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Hao Wu
Xuezhi Wen
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Hai Wan
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VisionTraj: A Noise-Robust Trajectory Recovery Framework based on Large-scale Camera Network
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Ziyue Li
Xiaoru Hu
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76
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123
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StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
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Wenjie Yang
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Hongwei Zhang
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Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
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Binbin Hu
Shuo Yang
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Guo Ye
Huimei He
49
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Learning Genomic Sequence Representations using Graph Neural Networks over De Bruijn Graphs
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46
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Konstantinos Sotiropoulos
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Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks
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Normed Spaces for Graph Embedding
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J. M. Riestenberg
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106
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Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
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Randy Paffenroth
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A Review of Link Prediction Applications in Network Biology
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Graph Prompt Learning: A Comprehensive Survey and Beyond
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Xixi Wu
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Yun Xiong
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122
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MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs
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117
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Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
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127
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Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning
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HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
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Content Augmented Graph Neural Networks
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